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    SFB Colloquia

    An introductory seminar to the topic of the colloquia is given beforehand for all junior scientist from 9:00-9:45 in the lecture hall.

    WS 2017/2018
    DateSpeakerInvited byTitleLocationRemarks
    13.10

    Philippe Robert,

    INRIA, Paris

    Sylvie RoellyStochastic Models of Gene Expression2.28.0.10810:15-11:45
    10.11

    Felix Wichmann

    Universität Tübingen, Germany

    Ralf Engbert

    Comparing deep neural networks against humans: Object recognition with weak signals

    2.28.0.10810:15-11:45
    08.12

    Tim Sullivan,

    Zuse Institute Berlin and Freie Universität zu Berlin, Germany

    Sebastian ReichDistributional Uncertainty in Uncertainty Quantification2.28.0.10810:15-11:45
    12.01

    Charlotte Kloft,

    Freie Universität Berlin, Germany

    Wilhelm HuisingaPharmacometrics: Analysing and understanding variability and uncertainty in clinical data
    2.28.0.108

    postponed due to illness

     

    02.02

    Michael Ghil,

    Ecole Normale Supérieure, Paris, France

    Yuri Shprits

    Data Assimilation: Past, Present and Future

    2.28.0.10810:15-11:45

    The flyer for the colloquia in the winter term 2017/18 can be downloaded here .

    SS 2018
    DateSpeakerInvited byTitleLocationRemarks
    27.04Reinhard Höpfner, Universität Mainz, GermanyMarkus Reiss On periodic signals in stochastic Hodgkin-Huxley models
    25.05

     

    Dino Sejdinovic,

    University of Oxford, UK

     

    Gilles Blanchard and Alexandra Carpentier
    22.06Uri Ascher, University of British Columbia (UBC), Vancouver, CanadaSebastian Reich
    13.07

    Maximilian Werner,

    University of Bristol, UK

    Gert Zöller
    WS 2018/2019
    DateSpeakerInvited byTitleLocationRemarks
    09.11.

    Pierre Del Moral,

    INRIA, Bordeaux Research Center, France

    Wilhelm Stannat
    07.12.Arnaud Doucet, Oxford University, UKSebastian Reich
    11.01.Charlotte Kloft, Freie Universität BerlinWilhelm HuisingaPharmacometrics: Analysing and understanding variability and uncertainty in clinical data
    01.02.